85 citations · 742 across the 80 of their papers we have counts for
7 papers · 1 filter
Evolving Neural Networks through a Reverse Encoding Tree
Haoling Zhang, Chao-Han Huck Yang, Hector Zenil +3
NeuroEvolution is one of the most competitive evolutionary learning frameworks for designing novel neural networks for use in specific tasks, such as logic circuit design and digit…
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen +5
Networks are fundamental building blocks for representing data, and computations. Remarkable progress in learning in structurally defined (shallow or deep) networks has recently be…
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, and modularity
Santiago Hernández-Orozco, Narsis A. Kiani, Hector Zenil
Natural selection explains how life has evolved over millions of years from more primitive forms. The speed at which this happens, however, has sometimes defied formal explanations…
Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems
Alyssa M Adams, Hector Zenil, Paul CW Davies +1
Open-ended evolution (OEE) is relevant to a variety of biological, artificial and technological systems, but has been challenging to reproduce in silico. Most theoretical efforts f…
Interacting Behavior and Emerging Complexity
Alyssa Adams, Hector Zenil, Eduardo Hermo Reyes +1
Can we quantify the change of complexity throughout evolutionary processes? We attempt to address this question through an empirical approach. In very general terms, we simulate tw…
Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system
Hector Zenil, Angelika Schmidt, Jesper Tegnér
Biology has taken strong steps towards becoming a computer science aiming at reprogramming nature after the realisation that nature herself has reprogrammed organisms by harnessing…